3 papers
cs.AI2026
Context and Transcripts Improve Detection of Deepfake Audios of Public Figures
Chongyang Gao, Marco Postiglione, Julian Baldwin +6
Humans use context to assess the veracity of information. However, current audio deepfake detectors only analyze the audio file without considering either context or transcripts. W…
cs.MA2025
Defending a City from Multi-Drone Attacks: A Sequential Stackelberg Security Games Approach
Dolev Mutzari, Tonmoay Deb, Cristian Molinaro +3
To counter an imminent multi-drone attack on a city, defenders have deployed drones across the city. These drones must intercept/eliminate the threat, thus reducing potential damag…
cs.SD2025
Perturbed Public Voices (PV): A Dataset for Robust Audio Deepfake Detection
Chongyang Gao, Marco Postiglione, Isabel Gortner +2
Current audio deepfake detectors cannot be trusted. While they excel on controlled benchmarks, they fail when tested in the real world. We introduce Perturbed Public Voices (P$^{2}…